基于模糊状态描述的不确定因果归纳自动推理机制  

Indeterminacy Causal Inductive Automatic Reasoning Mechanism Based On Fuzzy State Describing

作　　者：杨炳儒[1] 唐菁[1] 

机构地区：[1]北京科技大学信息工程学院,北京100083

出　　处：《中国工程科学》2000年第5期44-50,共7页Strategic Study of CAE

基　　金：国家自然科学基金资助项目! ( 6983 5 0 0 1)

摘　　要：文中提出基于模糊语言场和模糊语言值结构的知识表示新型框架 ,并提出能够综合处理模糊不确定性与随机不确定性的广义细胞自动机和广义归纳逻辑因果模型。在此基础上 ,又提出基于模糊状态描述的新型不确定因果归纳自动推理机制 ,并讨论其在智能控制器研制中的应用。New framework of knowledge representation of fuzzy language field and fuzzy language value structure is shown in this paper.Then the generalized cell automation that can synthetically process fuzzy indeterminacy and random indeterminacy and the generalized inductive logic causal model are brought forward.On this basis,the new logic indeterminate causal inductive automatic reasoning mechanism which is based on fuzzy state describing is brought forward.At the end of this paper its application in the development of intelligent controller is discussed. [

关 键 词：语言场 语言值结构 广义细胞自动机 广义归纳逻辑因果模型 自动推理 智能控制器 

分 类 号：O14[理学—数学] TP273.5[理学—基础数学]